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What is a social media algorithm and how does it work?

A social media algorithm is a set of rules and machine‑learning models that decide which posts each person sees and in what order. Its purpose is to filter the vast stream of content so users see what the platform predicts they’ll find most relevant or engaging — which keeps people using the app longer and lets the company show more ads.

Why it works: algorithms use many signals to predict interest.

  • User signals: past likes, comments, watch time, follows, searches.
  • Content signals: keywords, format (video vs. image), recency.
  • Context signals: time of day, device, location.
  • Creator signals: account authority, post frequency.

How it works at a high level: the system narrows candidates (millions → hundreds) then scores and ranks them with models trained on engagement outcomes. It continually updates by learning from new user behavior and A/B tests. Consequences include stronger personalization, possible echo chambers, and incentives for creators to optimize for the algorithm.

Which platform are you most interested in (TikTok, Instagram, X, Facebook, YouTube, or another)?

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